The versatility of the Python programming language has attracted many students and software professionals. Coursera has several Python courses to take. Hence we’ve listed the best Python course in Coursera.
Our recommendation of the best Python resources in Coursera is based on many factors considered. The Python courses in Coursera are most suitable for beginners to learn Python from scratch.
You may be wondering how to learn Python fast and why it’s useful.
Well, Python is used in many industries and organizations that come in handy learning it. Enroll yourself in one of the Python courses from our recommendation to take your career to the next level. Let’s check out the best online Python resources on Coursera.
In a Hurry?
If you don’t have much time, use the below links to find the best Python course on Coursera to learn online. Rest assured, we only recommend the best course:
–Python for Everybody Specialization course is our recommendation If you’re an absolute beginner.
–Python 3 Programming Specialization is the next course to take if you’ve already taken Python for Everybody.
–Python Programming: A Concise Introduction features several hands-on exercises after each module.
–Python for Data Science and AI, if your goal is to become a Data Science practitioner or AI practitioner.
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Why Learn Python?
Python is a general-purpose programming language that can be applied to a wide range of uses. It is one of the most popular languages for data science and machine learning, which are two fields that have been growing in popularity in recent years.
Python is an open-source language, meaning it does not cost anything to use or modify. It is also a high-level programming language, meaning it has fewer lines of code than other languages, and it can be used to make more complicated programs with ease. Python also has a large number of third-party libraries available for use, as well as an active community of developers that contribute to the language on GitHub.
Best Python Course in Coursera 2022
Python is a programming language that’s easy to learn, but it can be difficult to find the right course. Here are some of the best Python courses for beginners and experienced programmers alike.
There are many different options for Python courses, so it can be difficult to find one that’s the best for you. But here are some of the best courses on Python, from beginner-friendly introductions to more advanced tutorials.
1. Crash Course on Python by Google
Crash Course on Python is developed by Google and available on Coursera. This crash course is designed to train you in Python programming to write simple programs. There is no need for any prior technical knowledge to take this course, and even a non-technical person can take this course. Although this course is part of the Google IT Automation with Python Professional Certification, you can still take this individual course to learn Python.
The course curriculum starts by teaching you how to write simple programs. Once you get familiar with the concepts, you will proceed toward more advanced topics. The course contains several video training and hands-on exercise for you to practice Python coding. You will write a Python program and solve complex programming problems by the end of the program.
Key takeaways of this course:
- Begin the course by learning the very basics of Python programming language.
- Understand why Python is the best language for IT automation.
- Learn how you can use the basic Python structure to write programs.
- You will be able to create your own Python objects.
- Solve complex programming problems by learning to write Python codes.
This beginner’s Python course in Coursera has a study material of roughly 31 hours. You can complete this course in about 3-5 weeks. Over 136k students have enrolled in this course.
2. Python for Everybody Specialization Certification Course
The University of Michigan created Python for Everybody course to teach you to program and analyze Python data. This specialization course in Coursera comes with a bundle of 5 courses. The initial two courses out of 5 are for those who have no programming experience at all. Hence, this Python is suitable for everybody and best for beginners to learn from scratch.
Once you learn the basics of Python codes and syntax, you will study built-in data structures such as lists, dictionaries, and tuples. The final part of the course features the Capstone project. You will use all the concepts learned in the 5 courses to design and create your own Python application. We’ve also published a detailed Coursera Python for Everybody review. Once you complete the course, your next step will be to enroll in Python 3 Programming.
Key takeaways of this course:
- How you can install Python on your computer.
- Learn to write simple to complex Python codes to solve the problem.
- The instructor of this Python course is the top instructor.
- Using Web API, you will scrape, parse, and read web data.
- It will also train you in the basics of SQL and the fundamentals of database design.
- You will get a specialization certificate after completing the Capstone project.
This is one of the popular courses on Coursera to learn Python. It has over 650k students in this course alone. The approximate timeline to complete this training is about 8 months. It is one of the best Python courses on Coursera.
3. Python 3 Programming Specialization
In this specialization course, you will learn all the fundamentals of Python 3 programming. The course begins with the variables and how to store a value in them. Then the course proceeds to teach you loops, conditional statements, lists, tuples, and more. Every topic on Python 3 programming is covered in this course. The instructions provided by the instructor are simple and very clear to understand.
If you’ve already completed the previous course, Python for Everybody, this course will teach you further Python programming steps.
Here, you will get many instances to practice the coding. Python is very simple to learn because of its simple syntax and indentation guide. By the end of this Python 3 course, you will write code to query Internet APIs for data and extract information. Once you complete this Python course, you can take this Applied Data Science Course.
Key takeaways of this course:
- This course is best if you’d like to be an independent Python programmer.
- Includes a Python project to create a simple sentiment analyzer.
- Learn the third-party libraries that can be used to write Python 3 code.
- Detect faces in images by learning to use an open-source computer vision library (OpenCV).
- It teaches you to detect text in images using a python tesseract (py-tesseract) library.
This comprehensive Python course will take roughly 5 months to complete the course and earn the certificate. More than 74k students have taken this Python course on Coursera.
4. Python Programming: A Concise Introduction
Python Programming: A Concise Introduction by Wesleyan University contains 4 modules. The course will teach students Python version 3.x using a hands-on tutorial. This course will teach you how to install Python and use Spyder IDE. The course features several small practice exercises to gain solid experience in learning Python.
Students need to complete the exercise after every module and then submit it for grading. This will build a strong foundation as you practice coding by doing. The 4 modules of the course can be completed in 4 weeks. Meaning by 4 weeks, you will be able to complete the training and earn the Python certification.
Key takeaways of this course:
- The course teaches how to use the Spyder IDE for writing Python codes and debugging.
- Master all kinds of loops features in Python code.
- Use the arithmetic operations to perform calculations and loops to apply logic.
- Learn why tuple and the data dictionary are essential in Python programs.
- It also teaches basic descriptive statistics, which is helpful in Data Science and Machine Learning.
So far, more than 114k students have enrolled in this course. The average time duration to complete the course is 4 weeks.
5. Introduction to Scripting in Python Specialization
Rice University developed this Scripting in Python specialization course for beginners. Freshers can enroll in this Python course to master the essential skills in Python. This specialization course features a set of 4 courses, all designed to learn scripting in Python. The first course will teach you to write simple Python programs to perform real and practical tasks.
The later part of the course will teach you to manipulate data stored in files, work with tabular data, install Python packages, analyze existing data, and generate visualizations of that data. Each course will end with a project so that you can practice the learnings from the studies.
Key takeaways of this course:
- Use the CodeSkulptor development environment that helps beginning programmers learn quickly.
- Learn to use the best practices to follow while writing Python codes.
- Learn to access files that allow you to store and retrieve data within your programs.
- Become comfortable working with tabular data in Python.
- Practice Python codes by engaging yourself on several projects after each course in the specialization.
18k students have enrolled in this course and benefitted from the program. 67% of them started a new career, and 19% of them got to raise or promotion. You can complete the course in about 4 months.
6. Python for Data Science and AI
IBM designed this Python course for Data Science and AI students. You should enroll in this Python course to pursue IBM Data Science or IBM Applied AI. This course is the kickstart to learning Python for AI and Data Science. You will become zero to hero in a few hours by taking this online Python course.
You will begin by writing your first program to learn variables, expressions, and string operations. Once you learn the Python basics, you will begin with the Python Data Structure to write lists and tuples in programming. Learn to write conditional statements and loops in Python programming to get the desired result.
Key takeaways of this course:
- This Python course is dedicated to IBM Data Science and AI course.
- Create your own list and tuples in a program.
- Learn to write your own functions with logic and conditions.
- Build a dashboard by analyzing US Economic Data.
IBM Python for Data Science and AI course is good for freshers to learn Python. Over 198k students have signed up for this course. The approximate duration to complete this Python course is 22 hours.
7. Python Basics by University of Michigan
This course is designed to learn the basics of Python 3. It involved iteration, conditional execution, strings, and lists as data structures. Here you will build your debugging skills by learning to draw reference diagrams to reason about program executions. There are no prerequisites to take this course. Hence anyone can sign up for this course.
If you’re a beginner in the programmer world, then learning Python will get you started. Python is the easiest programming language that anyone can learn. Python has various applications in web design, data science, AI, ML, etc.
Key takeaways of this course:
- One of the best Python courses in Coursera is to learn the fundamentals.
- Learn to draw images by writing a program.
- Incorporate for loops to write more complex programs that create drawings.
- Learn new python data type – boolean, control structure, and conditional execution.
- It comes with a final assignment that will put a test your knowledge and skills.
This course has more than 149k students, and the approximate duration to complete the course is 36 hours.
Summary
We hope this article has provided some insight on the various Python courses that are available.
The conclusion of this article is to let readers know which Python course is right for them. They should first determine what their current level of programming expertise is, and then choose a course accordingly.
These are the best Python course in Coursera to learn online in 2022. Take any one of the courses to learn Python and take your career to the next level.
The Python course that is highlighted here is for beginners to learn from scratch in Coursera.
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